Skip to main content
Glama

Devto

by io.github.pipeworx-io

What Can I Ask Pipeworx?

suggest_questions
Read-onlyIdempotent

What can I ask Pipeworx? / what is Pipeworx good for? / what can you do? / give me ideas / show me examples / getting started / what data do you have? — the onboarding entry point for an agent that just connected and wants to know what is worth asking. Returns category-bucketed example questions (company financials, drugs & clinical trials, economics, real estate, prediction markets, weather, government & patents, science & academia, news) — each with the exact tool + argument shape that answers it, drawn from the live catalog of thousands of tools. Call with no arguments for the full spread, or pass topic (e.g. "finance", "pharma", "betting") to focus. Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools (ask_pipeworx, entity_profile, compare_entities, etc.).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNoOptional focus area: finance | pharma | economics | real-estate | betting | weather | government | science | news. Omit for a cross-category spread.

TDQS

A4.7/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, destructiveHint=false. The description adds context about the output (category-bucketed examples with tool+argument shapes, drawn from a live catalog) and behavior with/without topic, which goes beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single paragraph that front-loads common user questions and then explains functionality. While efficient, it could benefit from bullet points for the list of categories. Still, every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description thoroughly explains the return content (category-bucketed example questions with tool+argument shapes) and use cases (onboarding, learning). It is fully adequate for an agent to understand and use the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%. The description explains the single optional parameter 'topic', its possible values (finance, pharma, etc.), and the effect of omitting it (full spread). This adds significant meaning beyond the schema's minimal description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that this tool returns category-bucketed example questions about what Pipeworx can do, serving as an onboarding entry point. It distinguishes from siblings by focusing on getting started and learning what to ask, unlike query tools (ask_pipeworx) or research tools (deep_research).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit guidance: 'Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools.' Also explains when to omit or pass the topic parameter, and implicitly distinguishes from other tools by listing them as things to learn about.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All Devto toolsInspect
Try in Browser
RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.8/5.0
Disambiguation4/5

Most tools have distinct purposes with clear descriptions, but some overlap exists, e.g., ask_pipeworx vs ask_pipeworx_grounded, and several entity/company tools that could be confused. Overall, well-described and mostly disambiguated.

Naming Consistency5/5

Tool names follow consistent patterns: snake_case, with clear prefixes for each group (e.g., polymarket_*, pipeworx_*, get_article, etc.). Naming is predictable and systematic, making it easy to understand the tool's domain and action.

Tool Count2/5

33 tools is high for a server named 'Devto', where only a few tools actually relate to DEV.to. The majority are for Pipeworx data and Polymarket, which are unrelated. The tool count feels bloated and misaligned with the server's apparent primary purpose.

Completeness2/5

For the DEV.to domain, coverage is incomplete: lacks create/update/delete for articles and missing user profile management. The Pipeworx and Polymarket tools are extensive, but that doesn't compensate for the gaps in the core feature set implied by the server name.

Resources